SciForce

#ExplainedSimply Fine-Tuning vs. RAG (Retrieval-Augmented Generation) LLMs can be improved in two main ways: 1️⃣ Fine-Tuning – the model is retrained on specific datasets to specialize in a domain. Think of it as teaching AI by giving it a stack of books to study. 2️⃣ RAG – instead of retraining, the model fetches answers from external knowledge sources in real time. It’s like letting AI reach into a library to find the right book when needed. 🎯 Why it matters: Fine-Tuning gives the model permanent domain expertise, while RAG keeps it flexible and always up-to-date. #LLM #AI #MachineLearning #RAG #FineTuning #GenerativeAI #AIEducation

🚀 Speech recognition should work for everyone We built a technology that understands impaired speech helping users with Parkinson’s, cerebral palsy, or stuttering communicate clearly, control devices, and interact with smart assistants. #SpeechRecognition #ArtificialIntelligence #MachineLearning #VoiceAI

We’re proud to share that our colleague Polina Talapova received the Titan Award for Data Standards at the OHDSI 2025 Symposium 🏆 Polina has played a vital role in advancing standardized vocabularies that power the OMOP Common Data Model (CDM) — a global foundation for healthcare data interoperability and research. This recognition highlights not just individual excellence but also the strength of collaborative innovation within the #OHDSIcommunity. Congratulations, Polina, and thank you for representing SciForce on the world stage! 🌍💙 #OHDSI #TitanAward #HealthcareAI #OMOPCDM #DataStandards #SciForceTeam

🚀By combining Azure, OVH, Kubernetes, and Vault, we helped them modernize infrastructure, strengthen data security, and streamline operations. 👇 Read the full case study to see how we built a secure hybrid infrastructure for financial data management.

So proud of our TEAM 🚀

#ExplainedSimply What is CDSS? CDSS - Clinical Decision Support System AI systems that advise doctors on diseases or treatment options. They do not make decisions for doctors, but rather reduce the risk of human error. #HealthTech #MedTech #ClinicalAI #AIinHealthcare #PatientSafety

👗Ralph Lauren meets AI: Introducing “Ask Ralph” Ralph Lauren is redefining the shopping experience for the next generation with “Ask Ralph”, a conversational AI chatbot rolled out in their US app. Developed in partnership with Microsoft’s Azure OpenAI platform, the bot offers styling advice and curated looks based on simple prompts like: 💬 “What should I wear to a concert?” 💬 “How can I style my navy-blue men’s blazer?” Just like an in-store stylist, Ask Ralph interprets context, understands preferences, and refines recommendations, bringing the iconic Ralph Lauren style directly to your fingertips. David Lauren, Chief Branding and Innovation Officer, says: "Ask Ralph is about more than discovery - it’s about engaging consumers with what they love most about Ralph Lauren: our iconic, unique take on style." As AI tools become mainstream, luxury brands are exploring how to blend technology with their heritage, offering personalized experiences without losing authenticity. Ralph Lauren plans to expand the tool, add features, and roll it out to more brands and markets globally. 📲 Could AI become your next personal stylist? Read more in the comments 👇 #AIinFashion #ConversationalAI #RalphLauren #MicrosoftAzure #LuxuryTech #PersonalizedShopping

SciForce is heading to the 2025 OHDSI Global Symposium! 📅 October 7–9, 2025 📍 Hyatt Regency, New Brunswick, N.J., USA The OHDSI Global Symposium is the largest annual gathering of the #OHDSI community, bringing together hundreds of researchers, clinicians, and innovators from around the world. It’s a unique space where collaboration drives better evidence, better health decisions, and ultimately better care. This year’s three-day program will include tutorials, plenaries, a collaborator showcase, and numerous opportunities for sharing, networking, and learning from one another. We’re looking forward to connecting with fellow experts, exchanging ideas, and contributing to the global mission of improving health through data and evidence. 👉 Will you be there too? Let’s connect! #OHDSI2025 #GlobalSymposium #HealthcareInnovation #SciForce

On 26 September, at OHDSI UK hosted at the Wellcome Trust in London, Polina Talapova presented “Bridging UK Drug Terminology and OMOP: NHS dm+d Refresh via OHDSI Community Contribution.” Our update brings the dm+d vocabulary current to May 2025 (about 20k adds) with a simple February/August rhythm potential for future updates. We aligned mappings to RxNorm / RxNorm Extension / CVX / SNOMED CT, so concept sets can be built with standards. This happened because OHDSI has a community contribution pathway https://lnkd.in/d2BbYJu2. We thank Health Data Research UK (HDR UK), Alex E. Knight, Dani Prieto-Alhambra, and all the organizers for an excellent event, as well as everyone who engaged with us in discussions. If we didn’t connect during the conference, feel free to reach out — we’d be glad to continue the conversation. #OHDSI #OMOP #OHDSIUK #HDRUK

✅ Poll results are in! We asked you to tell apart human-made art from an AI-generated image🤖 The results? We got 50/50! And that’s exactly what makes this experiment interesting. AI is no longer producing “robotic” outputs. It’s about learning subtlety, style, and even the imperfections that we usually associate with human creativity. At the same time, human artists bring something AI can’t: context, culture, and lived experience. That blurred line isn’t a bug; it’s where the real value lies. In our work with AI, we see this every day: the most impactful solutions aren’t “AI vs. human,” but AI + human. That’s where efficiency, creativity, and innovation actually scale. So while spotting the AI is fun… the bigger question is how we choose to use it. 😉 #AI #HumanVsAI #DigitalArt #FutureOfWork #SpotTheAI